rs11222386 - SNX19
Magnitude 2.2 · 2 studies on file
Reported associations
-
Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation - Unknown journal (n.d.) · Unknown authors · PubMed 27841878
ABSTRACT: Longitudinal electronic health records on 99,785 Genetic Epidemiology Research on Adult Health and Aging (GERA) cohort individuals provided 1,342,814 systolic and diastolic blood pressure measurements for a genome-wide association study on long-term average systolic, diastolic, and pulse pressure. We identified 39 novel among 75 significant loci (P≤5×10−8), most replicating in the combined International Consortium for Blood Pressure (ICBP, n=69,396) and UK Biobank (UKB, n=152,081) studies. Combining GERA with ICBP yielded 36 additional novel loci, most replicating in UKB. Combining all three studies (n=321,262) yielded 241 additional genome-wide significant loci, although for these no replication sample was available. All associated loci explained 2.9%/2.5%/3.1% of systolic/
-
Genetic analysis of over one million people identifies 535 new loci associated with blood pressure traits - Unknown journal (n.d.) · Unknown authors · PubMed 30224653
ABSTRACT: High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic, pulse pressure) to date in over one million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also reveal shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future. FULL TEXT: [INTRO] Introduction [INTRO] High blood pressure (BP) is a leading heritable risk factor for stroke and coronary artery disease, responsible for an es
Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.